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10.1145/3638530.3664047acmconferencesArticle/Chapter ViewAbstractPublication PagesgeccoConference Proceedingsconference-collections
abstract

DynStack Competition - Dynamic Stacking Optimization in Uncertain Environments

Published: 01 August 2024 Publication History

Abstract

This 2-page extended abstract gives a short overview of the Dyn-Stack competition, which has been hosted at the Genetic and Evolutionary Computation Conference (GECCO) since 2020. The challenge is to generate optimized solutions for one of three different dynamic optimization scenarios in the domain of warehouse operations. These scenarios are simulated and each simulation model, executed in real-time, publishes its world state (i.e. all available information, e.g. existing transport orders and item stock) into message queues regularly. External optimizers can attach to these queues and send back respective optimization solutions in the form of crane schedules, which are then executed by simulated crane agents in the simulated systems. Dynamic changes within the simulations necessitate updates of crane schedules on a regular basis.

References

[1]
Andreas Beham, Sebastian Leitner, Johannes Karder, Bernhard Werth, and Stefan Wagner. 2022. Dynstack: A benchmarking framework for dynamic optimization problems in warehouse operations. In Proceedings of the Genetic and Evolutionary Computation Conference Companion. 1984--1991.
[2]
Sarah Boeckel and Doina Logofatu. 2023. Approaches for Solving a Dynamic Stacking Problem in Uncertain Environments. In 2023 International Conference on Innovations in Intelligent Systems and Applications (INISTA). IEEE, 1--6.
[3]
Johannes Karder, Bernhard Werth, Andreas Beham, Stefan Wagner, and Michael Affenzeller. 2023. A Novel Benchmark Environment for Dynamic Factory Crane Scheduling. Procedia Computer Science 217 (2023), 1217--1224.

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cover image ACM Conferences
GECCO '24 Companion: Proceedings of the Genetic and Evolutionary Computation Conference Companion
July 2024
2187 pages
ISBN:9798400704956
DOI:10.1145/3638530
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s).

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Association for Computing Machinery

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Publication History

Published: 01 August 2024

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Author Tags

  1. DynStack
  2. competition
  3. optimization
  4. dynamic
  5. stacking
  6. uncertainty

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GECCO '24 Companion
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Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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